PXD058813

PXD058813 is an original dataset announced via ProteomeXchange.

Title	Data in support of the hPOP Human Proteomics project
Description	A long-standing aspiration in multi-omics is to comprehensively understand how genetic and geographical factors shape phenotypic expression at the molecular, cellular and organismal level - ultimately revealing how the interplay between an organism's molecular landscape and its environment manifests in observable traits. While high-throughput multi-omics technologies have revolutionized our understanding of disease states, relatively few studies have explored molecular variation within and across healthy populations, especially with full-spectrum molecular data, leaving a significant knowledge gap. To address this gap and enhance our understanding of human molecular diversity, we conducted an analysis of 322 nominally healthy individuals from diverse ethnic backgrounds, integrating (1) deep multi-omic profiling - including genome sequencing, transcriptomics, glycomics, targeted and untargeted metabolomics, lipidomics, proteomics, 16S microbiota sequencing, metaproteomics, metallomics, and metabolic hormone and pathogen profiling, (2) clinical data collection, and (3) comprehensive lifestyle surveys. Our integrative analysis revealed three key findings: associations between molecular profiles (transcripts, proteins, metabolites, lipids, and microbiota) and phenotypic categories such as diet and age among healthy individuals; ethnicity-specific genetic polymorphisms in key genes governing whole-body homeostasis, particularly in lipid/carbohydrate metabolism and neuroinflammation pathways; and variation in the abundance of key proteins such as the TERF2 interacting protein (TERF2IP) which is critical for cellular aging, genome stability, and protection against chromosomal degradation. These findings hold significant translational value, particularly in understanding ethnicity as a risk factor for autoimmune diseases. Many ethnicity-associated molecules identified in our study interact with existing therapeutic drugs, highlighting the potential need for ethnicity-specific drug dosing adjustments. Furthermore, our results suggest that geographical factors influence ethnic patterns, which may, in turn, affect longevity. Male individuals with European ancestry exhibited a lower phenotypic age, while those of Asian ancestry showed a higher phenotypic age when living outside their ancestral regions. By providing both a comprehensive baseline dataset of multi-omic variation in healthy individuals and critical insights into the molecular basis of human diversity, our study establishes a foundation for future precision medicine approaches and enhances our understanding of how environmental and genetic factors influence phenotypic and molecular traits.
HostingRepository	PRIDE
AnnounceDate	2026-08-24
AnnouncementXML	Submission_2026-08-24_05:53:03.055.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Allan Stensballe
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606;
ModificationList	iodoacetamide derivatized residue
Instrument	timsTOF Pro 2

Revision	Datetime	Status	ChangeLog Entry
0	2024-12-12 06:43:29	ID requested
⏵ 1	2026-08-24 05:53:03	announced

10.1016/j.cell.2026.04.032;

Barapour N, Cao JZ, Wu Y, Gupta S, Hoopmann MR, Qin R, Midha MK, Mireault M, Juanes-Velasco P, Hanson C, Ahadi S, Higgs E, Baxter DH, Diener C, Dagan-Rosenfeld O, Hornburg D, Che S, Edfors F, Church SJ, Babu M, Thota D, Jin C, Chou T, Rego S, Avina M, McGuire L, Li JW, Karathanos T, Panyard DJ, Acosta Parra MA, Roberts AK, Ranjit AK, Rangan E, Almagro Armenteros JJ, Ashland M, Castillo KE, Traber G, Ellenberger M, Kellogg R, Zhou W, Rost H, Kjellberg M, Mishra T, Kapil C, Kusebauch U, Patwardhan S, Landeira-Vi, ñ, uela A, Hernandez AP, Thomsen ME, Mashkoor M, Sutantiwanichkul T, Dodig-Crnkovic T, Bendes A, Dahl L, Gibbons SM, Rangan PV, Stensballe A, Schwenk JM, Unwin RD, Fuentes M, Sleno L, Moritz RL, Mahal LK, Snyder MP, A comparison of deep multiomics profiles across ethnicity, geography, and age. Cell, 189(10):3004-3024.e35(2026) [pubmed]

submitter keyword: proteomics, plasma,hPOP, multiOMICs

Allan Stensballe
contact affiliation	Aalborg university
contact email	as@hst.aau.dk
lab head
Allan Stensballe
contact affiliation	Aalborg University
contact email	as@hst.aau.dk
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2026/08/PXD058813

PRIDE project URI

• PRIDE
  1. PXD058813
     1. Label: PRIDE project
     2. Name: Data in support of the hPOP Human Proteomics project